Boxlight (BOXL) Operating Expenses (2016 - 2026)
Boxlight's Operating Expenses came in at $11.88 million for Q2 2026, down 19.2% from $14.7 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Boxlight (BOXL) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Boxlight reported Operating Expenses of $48.07 million, down 22.9% year-over-year; for FY2025, it was $50 million, down 24.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $66.41 million in FY2024 (-25.9%), $89.6 million in FY2023 (+44.9%), $61.82 million in FY2022 (+25.9%) and $49.1 million in FY2021 (+117.5%).
- The five-year range for quarterly Operating Expenses is $10.95 million (Q1 2025) to $29.61 million (Q3 2023).
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with an average decline of 20.3%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 225.3%), and the weakest in Q3 2024 (a decline of 55.7%).
- Business Quant data shows BOXL's Operating Expenses at $11.84 million (Q1 2026), $11.87 million (Q4 2025) and $12.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Boxlight | 3.83 Mn | -28.55 Mn | 12.91 Mn | 11.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.88 Mn |
| Mar 31, 2026 | 11.84 Mn |
| Dec 31, 2025 | 11.87 Mn |
| Sep 30, 2025 | 12.48 Mn |
| Jun 30, 2025 | 14.70 Mn |
| Mar 31, 2025 | 10.95 Mn |
| Dec 31, 2024 | 23.57 Mn |
| Sep 30, 2024 | 13.11 Mn |
| Jun 30, 2024 | 13.31 Mn |
| Mar 31, 2024 | 16.42 Mn |
| Dec 31, 2023 | 28.91 Mn |
| Sep 30, 2023 | 29.61 Mn |
| Jun 30, 2023 | 15.75 Mn |
| Mar 31, 2023 | 15.33 Mn |
| Dec 31, 2022 | 15.24 Mn |
| Sep 30, 2022 | 14.56 Mn |
| Jun 30, 2022 | 15.95 Mn |
| Mar 31, 2022 | 16.07 Mn |
| Dec 31, 2021 | 14.94 Mn |
| Sep 30, 2021 | 12.29 Mn |
API Access
Boxlight Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=BOXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BOXL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BOXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();